Data Quality Tool

3. The apparatus of claim 1, wherein the third subset of statistical properties comprises at least one of a mean of the third column of data and a range of values of the third column of data.

4. The apparatus of claim 1, wherein the third set of metadata assigned to the third column of data comprises information about a use of the third column of data, information about a property of the third column of data, and information about an availability of the third column of data.

6. The apparatus of claim 5, wherein determining the second set of candidate rules for the third column of data is further based on a set of inputs from an administrator, the set of inputs comprising a known factor that affected one or more pieces of data of the third column of data.

7. The apparatus of claim 5, wherein determining that the first probability that the first result of applying the first rule of the first set of candidate rules to the first piece of data is affected by the first event of the event log affecting the first piece of data of the third column of data is less than the threshold comprises using a second machine learning policy.

10. The method of claim 8, wherein the third subset of statistical properties comprises at least one of a mean of the third column of data and a range of values of the third column of data.

11. The method of claim 8, wherein the third set of metadata assigned to the third column of data comprises information about a use of the third column of data, information about a property of the third column of data, and information about an availability of the third column of data.

13. The method of claim 12, wherein determining the second set of candidate rules for the third column of data is further based on a set of inputs from an administrator, the set of inputs comprising a known factor that affected one or more pieces of data of the third column of data.

14. The method of claim 12, wherein determining that the first probability that the first result of applying the first rule of the first set of candidate rules to the first piece of data is affected by the first event of the event log affecting the first piece of data of the third column of data is less than the threshold comprises using a second machine learning policy.

17. The system of claim 15, wherein the third set of metadata assigned to the third column of data comprises information about a use of the third column of data, information about a property of the third column of data, and information about an availability of the third column of data.

19. The system of claim 18, wherein determining the second set of candidate rules for the third column of data is further based on a set of inputs from an administrator, the set of inputs comprising a known factor that affected one or more pieces of data of the third column of data.

20. The system of claim 18, wherein determining that the first probability that the first result of applying the first rule of the first set of candidate rules to the first piece of data is affected by the first event of the event log affecting the first piece of data of the third column of data is less than the threshold comprises using a second machine learning policy.